Swarm Core Coordination for Dynamic Industrial Robot Fleets
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Solution Overview
Problem
Current heterogeneous group management in industrial robot systems lacks flexibility to adapt to complex manufacturing environments, hindering effective coordination and efficiency in production processes.
Innovation Solution
A swarm autonomy system with a software platform (swarm core) that manages a fleet of robots and devices, utilizing a swarm protocol for data communication and dynamic configuration to ensure awareness, solidarity, and adaptability, including swarm fleet management, quality of service policies, and failure avoidance routines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous group management is used to manage different types of industrial robot groups, then the system can coordinate multiple robot types, but the system lacks flexibility to adapt to complex industrial production environment
Solution Approach 1:
The patent applies universality by creating a unified swarm autonomy management system that can handle multiple types of industrial robots and devices through a common interface and protocol. The system defines standardized data models for robot groups, devices, and tasks that enable heterogeneous components to be managed uniformly, thus improving adaptability without proportionally increasing system complexity
Solution Approach 2:
The patent segments the complex manufacturing system into modular components: swarm autonomy manager, robot groups, devices, and tasks. Each component is independently defined with specific data models and relationships, allowing the system to scale and adapt to complex environments while maintaining manageable complexity through clear separation of concerns
2Adaptability or versatility
If a swarm autonomy system with dynamic configuration is implemented, then flexibility and adaptability are enhanced, but the system complexity increases
Solution Approach 1:
The patent implements dynamics through dynamic configuration capabilities that allow the swarm autonomy system to adapt its structure and behavior based on runtime conditions. The system can dynamically assign tasks to robot groups, reconfigure device associations, and adjust management parameters without requiring complete system redesign, thus enhancing adaptability while keeping architecture manageable through rule-based automation
Solution Approach 2:
The swarm autonomy system incorporates self-service mechanisms where the system automatically manages its own configuration and coordination based on predefined rules and algorithms. The autonomy manager autonomously handles task allocation, robot group management, and device coordination, reducing the need for complex external control and simplifying the overall system architecture
Data Source
AI summary
A swarm autonomy system and swarm autonomy method for organizing multiple industrial robots to carry out a number of manufacturing tasks comprises a swarm core and at least one swarm fleet, wherein, the swarm core is configured to manage the swarm autonomy system and generate a swarm plan; and the swarm fleet is configured to execute a manufacturing execution according to the swarm plan.